4 citations · 5 across the 8 of their papers we have counts for
8 papers
WANSpec: Leveraging Global Compute Capacity for LLM Inference
Noah Martin, Fahad Dogar
Data centers capable of running large language models (LLMs) are spread across the globe. Some have high end GPUs for running the most advanced models (100B+ parameters), and other…
AdvisingWise: Supporting Academic Advising in Higher Education Settings Through a Human-in-the-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani +3
Academic advising is critical to student success in higher education, yet high student-to-advisor ratios limit advisors' capacity to provide timely support, particularly during pea…
NeuroBridge: Using Generative AI to Bridge Cross-neurotype Communication Differences through Neurotypical Perspective-taking
Rukhshan Haroon, Kyle Wigdor, Katie Yang +3
Communication challenges between autistic and neurotypical individuals stem from a mutual lack of understanding of each other's distinct, and often contrasting, communication style…
WaLLM -- Insights from an LLM-Powered Chatbot deployment via WhatsApp
Hiba Eltigani, Rukhshan Haroon, Asli Kocak +3
Recent advances in generative AI, such as ChatGPT, have transformed access to information in education, knowledge-seeking, and everyday decision-making. However, in many developing…
LLMBridge: Reducing Costs to Access LLMs in a Prompt-Centric Internet
Noah Martin, Abdullah Bin Faisal, Hiba Eltigani +3
Today's Internet infrastructure is centered around content retrieval over HTTP, with middleboxes (e.g., HTTP proxies) playing a crucial role in performance, security, and cost-effe…
TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Users
Rukhshan Haroon, Fahad Dogar
Autistic individuals often experience difficulties in conveying and interpreting emotional tone and non-literal nuances. Many also mask their communication style to avoid being mis…